Practical Recommender Systems

Description

Recommender systems are practically a necessity for keeping a site’s content current, useful, and interesting to visitors. Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.

Key features

• A behind the scenes look at recommender systems

• Hands-on lessons

• Step-by-step guide

Audience

This book assumes you’re comfortable reading code in Python and have some experience with databases.

About the Technology

Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions.